Overview

Hyderabad/Pune, India | Posted on 08/31/2026

Responsibilities

• Fine-tune LargeLanguage Models using Supervised Fine-Tuning (SFT) and DirectPreference Optimization (DPO).
• Develop and maintain training data pipelines, including data transformation, formatting,deduplication, filtering, and quality validation.
• Work extensivelywith the Hugging Face ecosystem, including Transformers, Datasets,and PEFT.
• Build and automate modelevaluation and benchmarking frameworks to assess model quality andperformance.
• Deploy and serve LLMmodels using AWS GPU/EC2 infrastructure and Amazon SageMaker.
• Optimize models forproduction through model quantization, inference optimization, andresource utilization.
• Build robust MLOpsand ML CI/CD pipelines covering model training, evaluation, packaging,deployment, and monitoring.
• Implement A/Btesting, Canary, and Shadow-mode deployments for safely introducingnew model versions into production.
• Develop mechanismsfor automated model promotion and rollback based on predefinedperformance and operational metrics.
• Implement productionmonitoring for model performance, latency, throughput, errors, GPUutilization, and resource consumption.
• Containerize MLworkloads using Docker and deploy/manage them using Kubernetes/AmazonEKS.
• Collaborate withData Scientists, ML Engineers, DevOps teams, and other stakeholders tobuild scalable and reliable AI/ML solutions.

Qualifications

• Employment Type: Full-Time, Hybrid
• Strong programmingexperience in Python .
• Hands-on experiencewith LLM fine-tuning , particularly SFT and DPO .
• Strong knowledge of HuggingFace Transformers, Datasets, and PEFT .
• Strong understandingof MLOps, ML CI/CD, and model lifecycle management .
• Knowledge of modelevaluation, benchmarking, and performance optimization .
• Hands-on experiencewith model quantization .
• Health insurance of INR 7.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
• Robust Protection Plans:
• Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
• PF and Gratuity provided as per standard government regulations.
• Flexible Work Options:
• Enjoy hybrid work arrangements & flexible working hours
• Generous Leave Policy:
• 21 days of annual leave, in addition to 10 company-declared holidays.
• Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.